Results 51 to 60 of about 331,520 (189)
A Fourier transform method for nonparametric estimation of multivariate volatility
We provide a nonparametric method for the computation of instantaneous multivariate volatility for continuous semi-martingales, which is based on Fourier analysis.
Malliavin, Paul, Mancino, Maria Elvira
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Selected Statistical Tests for Median and Their Properties
In the paper, a selection of statistical tests for median are presented. In particular, parametric and nonparametric significance tests are considered.
Dorota Pekasiewicz, Agata Szczukocka
doaj +1 more source
Conjugate Projective Limits [PDF]
We characterize conjugate nonparametric Bayesian models as projective limits of conjugate, finite-dimensional Bayesian models. In particular, we identify a large class of nonparametric models representable as infinite-dimensional analogues of exponential
Orbanz, Peter
core
State price density estimation via nonparametric mixtures
We consider nonparametric estimation of the state price density encapsulated in option prices. Unlike usual density estimation problems, we only observe option prices and their corresponding strike prices rather than samples from the state price density.
Yuan, Ming
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ON THE PERFORMANCE OF NONPARAMETRIC SPECIFICATION TESTS IN REGRESSION MODELS [PDF]
Some recently developed nonparametric specification tests for regression models are described in a unified way. The common characteristic of these tests is that they are consistent against any alternative hypothesis.
Chesborough HW +12 more
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Differentially Private Nonparametric Hypothesis Testing
Hypothesis tests are a crucial statistical tool for data mining and are the workhorse of scientific research in many fields. Here we study differentially private tests of independence between a categorical and a continuous variable.
Bray, Andrew +4 more
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This paper proposes a set of nonparametric statistical tools for analyzing the system resilience of civil structures and infrastructure and its migration upon changes in critical system parameters.
ZhiQiang Chen, Prativa Sharma
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Convex optimization now plays an essential role in many facets of statistics. We briefly survey some recent developments and describe some implementations of these methods in R .
Roger Koenker, Ivan Mizera
doaj +1 more source
Co-clustering separately exchangeable network data
This article establishes the performance of stochastic blockmodels in addressing the co-clustering problem of partitioning a binary array into subsets, assuming only that the data are generated by a nonparametric process satisfying the condition of ...
Choi, David, Wolfe, Patrick J.
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The fused Kolmogorov filter: A nonparametric model-free screening method [PDF]
A new model-free screening method called the fused Kolmogorov filter is proposed for high-dimensional data analysis. This new method is fully nonparametric and can work with many types of covariates and response variables, including continuous, discrete ...
Mai, Qing, Zou, Hui
core +1 more source

